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非极点对称的经验模态分解matlab计算程序(Non - pole symmetry empirical mode decomposition matlab calculation program)

计算大气密度的程序 用于航空宇航研究的基础程序(With the code you can getting the atmosphere denisity along the height)

说明：  一个简单的matlab程序，用于实现自回归AR模型。( U4E00 u4E2A u7B80 u5355 u7684matlab u7A0B u5E8F uFF0C u7528 u4E8E u5B9E u73B0 u81EA u56DE u5F52AR u6A21 u578B u3002)

关于神经网络控制，数据模型归一化，模态振动，多目标跟踪的粒子滤波器。( On neural network control, Normalized data model, modal vibration, Multi-target tracking particle filter.)

ansys-初应力-残余应力-焊接残余应力-ansys温度场(ansys-initial stress)

螺旋桨唱音信号建模，FFT变换后有明显的谐波(The propeller singing sound signal is modeled, and FFT transformation has obvious harmonic )

汪荣江关于计算地震几个很经典的程序，有详细的ppt和源码解释，适合初学者练习使用，有版权保护，学习即可。(Calculate seismology.)

33节点配电网前退回代法潮流计算程序。可以计算功率损耗，是至今为止比较完善的程序(33-node distribution network return on behalf of the flow calculation procedures. Can calculate the power loss, so far a relatively complete program)

％ 奇异值分解 (sigular value decomposition,SVD) 是另一种正交矩阵分解法；SVD是最可靠的分解法， ％ 但是它比QR 分解法要花上近十倍的计算时间。[U,S,V]=svd(A)，其中U和V代表二个相互正交矩阵， ％ 而S代表一对角矩阵。 和QR分解法相同者， 原矩阵A不必为正方矩阵。 ％ 使用SVD分解法的用途是解最小平方误差法和数据压缩。用svd分解法解线性方程组，在Quke2中就用这个来计算图形信息，性能相当的好。在计算线性方程组时，一些不能分解的矩阵或者严重病态矩阵的线性方程都能很好的得到解( Singular value decomposition (sigular value decomposition, SVD) is another orthogonal matrix decomposition method SVD decomposition is the most reliable method, but it takes more than QR decomposition near ten times the computing time. [U, S, V] = svd (A), in which U and V on behalf of two mutually orthogonal matrix, and the S on behalf of a diagonal matrix. And QR decomposition are the same, the original matrix A is no need for the square matrix. The use of SVD decomposition method are used as a solution of least squares error method and data compression. Using SVD decomposition solution of linear equations, in Quke2 on to use this information to calculate the graphics performance quite good. In the calculation of linear equations, some indecomposable matrix or serious pathological matrix of linear equations can be a very good solution)

细梁的振动，无量纲振动控制方程关于梁的动力响应(Beam power with applications from mechanical aerospace electrical and civil engineering free vibration nondimendional frequency coefficients on the dynamic behaviour of the beam)